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| Section | Weight | Objectives |
|---|---|---|
| Meeting API Quality Goals | 8% | - Security and compliance standards - Reliability and availability targets - Maintainability and testability - Performance and latency requirements |
| Explaining Application Network Basics | 11% | - API-led connectivity principles - Benefits of modern API design - Core concepts of application networks |
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Operational visibility and optimization - Monitoring strategies and tools - Logging and alerting configuration |
| Architecting and Deploying API Implementations | 11% | - Networking and security configuration - High availability and fault tolerance - CI/CD and DevOps integration - Runtime architecture and deployment options |
| Establishing Organizational and Platform Foundations | 17% | - Platform strategy and roadmap definition - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model - Governance and organizational structure |
| Designing and Sharing APIs | 11% | - API specification and documentation - API layering: Experience, Process, System APIs - Asset sharing and reuse via Anypoint Exchange - API design standards and best practices |
| Deploying API Implementations to CloudHub | 11% | - Deployment optimization and scaling - Worker sizing and resource planning - CloudHub architecture and capabilities - VPC and private space configuration |
| Applying Integration Patterns | 11% | - Scalability and performance patterns - Common integration patterns and use cases - Event-driven and synchronous integration - Error handling and reliability patterns |
| Managing APIs | 12% | - API policies and security enforcement - API lifecycle management - Versioning and deprecation strategies - Rate limiting and throttling |
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NEW QUESTION # 95
Refer to the exhibit.
what is true when using customer-hosted Mule runtimes with the MuleSoft-hosted Anypoint Platform control plane (hybrid deployment)?
Answer: B
Explanation:
Correct Answe r: API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane.
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>> We CANNOT use Shared Load balancer to load balance APIs on customer hosted runtimes
>> For Hybrid deployment models, the on-premises are first connected to Runtime Manager using Runtime Manager agent. So, the connection is initiated first from On-premises to Runtime Manager. Then all control can be done from Runtime Manager.
>> Anypoint Runtime Manager CANNOT ensure automatic HA. Clusters/Server Groups etc should be configured before hand.
Only TRUE statement in the given choices is, API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane. There are several references below to justify this statement.
Reference:
https://docs.mulesoft.com/runtime-manager/deployment-strategies#hybrid-deployments
https://help.mulesoft.com/s/article/On-Premise-Runtimes-Disconnected-From-US-Control-Plane-June-18th-2018
https://help.mulesoft.com/s/article/Runtime-Manager-cannot-manage-On-Prem-Applications-and-Servers-from-US-Control-Plane-June-25th-2019
https://help.mulesoft.com/s/article/On-premise-Runtimes-Appear-Disconnected-in-Runtime-Manager-May-29th-2018
NEW QUESTION # 96
A TemperatureSensors API instance is defined in API Manager in the PROD environment of the CAR_FACTORY business group. An AcmelemperatureSensors Mule application implements this API instance and is deployed from Runtime Manager to the PROD environment of the CAR_FACTORY business group. A policy that requires a valid client ID and client secret is applied in API Manager to the API instance.
Where can an API consumer obtain a valid client ID and client secret to call the AcmeTemperatureSensors Mule application?
Answer: C
Explanation:
When an API policy requiring a client ID and client secret is applied to an API instance in API Manager, API consumers must obtain these credentials through a registered client application. Here's how it works:
Anypoint Exchange and Client Applications:
To access secured APIs, API consumers need to create or register a client application in Anypoint Exchange. This process involves requesting access to the specific API, and once approved, the consumer can retrieve the client ID and client secret associated with the application.
Why Option D is Correct:
Option D accurately describes the process, as the client ID and client secret are generated and managed within Anypoint Exchange. API consumers can use these credentials to authenticate with the TemperatureSensors API.
of Incorrect Options:
Option A (secrets manager) is incorrect because client credentials for API access are not managed via secrets manager.
Option B (API Manager) is incorrect as API Manager manages policies but does not provide client-specific credentials.
Option C (Access Management) does not apply, as Access Management is primarily used for user roles and permissions, not API client credentials.
Reference
For further details on managing client applications in Anypoint Exchange, consult MuleSoft documentation on client application registration and API security policies.
NEW QUESTION # 97
What is most likely NOT a characteristic of an integration test for a REST API implementation?
Answer: A
Explanation:
Correct Answe r: The test runs immediately after the Mule application has been compiled and packaged
*****************************************
>> Integration tests are the last layer of tests we need to add to be fully covered.
>> These tests actually run against Mule running with your full configuration in place and are tested from external source as they work in PROD.
>> These tests exercise the application as a whole with actual transports enabled. So, external systems are affected when these tests run.
So, these tests do NOT run immediately after the Mule application has been compiled and packaged.
FYI... Unit Tests are the one that run immediately after the Mule application has been compiled and packaged.
NEW QUESTION # 98
A company uses a hybrid Anypoint Platform deployment model that combines the EU control plane with customer-hosted Mule runtimes. After successfully testing a Mule API implementation in the Staging environment, the Mule API implementation is set with environment-specific properties and must be promoted to the Production environment. What is a way that MuleSoft recommends to configure the Mule API implementation and automate its promotion to the Production environment?
Answer: A
NEW QUESTION # 99
A customer wants to monitor and gain insights about the number of requests coming in a given time period as well as to measure key performance indicators (response times, CPU utilization, number of active APIs).
Which tool provides these data insights?
Answer: D
Explanation:
Understanding Anypoint Monitoring and Its Capabilities:
Anypoint Monitoring provides comprehensive visibility into Mule applications, offering metrics and analytics such as request counts, response times, CPU utilization, memory usage, and other key performance indicators (KPIs). This tool is designed to help teams monitor API usage, troubleshoot issues, and optimize application performance.
Evaluating the Options:
Option A (Correct Answer): Anypoint Monitoring is the ideal tool for this requirement. It provides real-time insights into metrics such as the number of requests, response times, CPU utilization, and active API usage.
Option B (API Manager): API Manager focuses on API lifecycle management, including applying policies, managing contracts, and setting access controls. It does not provide performance monitoring or KPI tracking.
Option C (Runtime Alerts): Runtime Alerts can notify users of specific conditions, like high CPU usage, but they do not provide a full suite of metrics or insights over a given time period.
Option D (Functional Monitoring): Functional Monitoring focuses on functional testing of APIs rather than performance and usage metrics. It does not provide continuous KPI tracking.
Conclusion:
Option A is the correct answer. Anypoint Monitoring is the most suitable tool to track the specified metrics, providing detailed insights into API requests, response times, CPU usage, and active API counts.
For further details, refer to MuleSoft's Anypoint Monitoring documentation on configuring dashboards and tracking performance metrics.
NEW QUESTION # 100
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